Create an AI sales agent that knows your business

Give your sales agent the context it needs to understand your offer, answer common questions, qualify enquiries and prepare promising leads for a human follow-up.

Create Your Agent

Make it yours

Shape the conversation around your business, offer and customer journey.

Handle enquiries

Give customers useful answers while collecting the details your team needs.

Know when to hand off

Move qualified opportunities to your team with context instead of starting over.

AI sales agent workflow showing business knowledge, customer conversation and qualified lead handoff
An AI sales agent uses business context to handle enquiries, qualify intent and prepare the next sales action.

What is an AI sales agent?

An AI sales agent is a conversational assistant designed to handle early-stage sales work such as replying to enquiries, understanding customer needs, collecting qualification details and preparing a lead for the next step. Unlike a simple FAQ bot, a useful sales agent should keep the conversation focused on the business outcome: understanding whether the prospect is a good fit and what should happen next.

GetClosifi lets a business create a customer-facing sales agent that works with incoming conversations while the owner or sales team stays in control of the overall process.

What can a GetClosifi AI sales agent do?

  • Respond to new customer enquiries in a natural conversational style.
  • Ask relevant questions instead of sending the same canned response to every prospect.
  • Capture useful details such as requirement, budget, timeline, phone, email, demo interest or meeting intent.
  • Help move a lead from a new conversation toward qualification, proposal or human handoff.
  • Keep conversation context connected to the lead so the human team does not need to start from zero.

The agent supports the sales process; it does not need to replace the salesperson. Human teams remain important for negotiation, complex questions, custom proposals and final business decisions.

How to create an AI sales agent for your business

1. Define what you sell

The agent needs clear context about your product, service, offer and target customer. Better business context helps the conversation stay relevant.

2. Decide what a qualified lead looks like

Different businesses care about different details. A service company may need location, budget and appointment timing, while a B2B team may care about company size, use case, timeline and decision stage.

3. Connect your lead channels

The agent becomes more valuable when it can support real inbound conversations such as Instagram DMs and WhatsApp enquiries.

4. Let the agent collect context

As the customer answers questions, the lead can become more complete. The system can capture buying signals and help identify whether the next step should be follow-up, demo, meeting, quote or team handoff.

5. Keep human control

Your team should be able to review the lead, read the conversation and continue directly when a human response is more appropriate.

AI sales agent vs basic chatbot

A basic chatbot usually follows a fixed menu, answers a small set of questions or sends prewritten responses. An AI sales agent is intended to work with the context of the conversation and the sales journey.

  • Basic chatbot: focuses on predefined replies and simple support flows.
  • AI sales agent: focuses on understanding the enquiry, asking follow-up questions, capturing qualification data and helping move the opportunity toward a next action.

For sales use cases, the difference matters because a customer rarely follows the exact same script as the previous customer.

Where an AI sales agent is useful

  • Businesses receiving frequent product or service enquiries.
  • Teams that lose leads because first responses are slow.
  • Companies that want consistent qualification before a salesperson spends time on a lead.
  • Businesses generating leads from Instagram, WhatsApp, ads or a website.
  • Teams that need better context before scheduling a call, demo or meeting.

AI agent, follow-ups and sales visibility

The agent becomes more useful when it is connected to the rest of the sales workflow. After qualification, lead follow-ups help keep the opportunity active, while the Business Copilot helps the owner understand what needs attention across the pipeline.

This creates a connected flow from first enquiry to qualification, next action and human follow-up instead of keeping automation isolated from the rest of the sales process.

AI sales agent FAQ

Can I create an AI sales agent for my own business?

Yes. GetClosifi is designed so a business can create a customer-facing sales agent around its own offer and sales process.

Can the agent qualify leads automatically?

It can collect qualification details and buying signals through conversation, helping the system understand whether the lead is still new, qualified or ready for another sales step.

Can a human salesperson take over?

Yes. Human handoff is an important part of the workflow, especially when the customer needs custom advice, negotiation or a final business decision.

Does the AI sales agent work with Instagram and WhatsApp?

GetClosifi is focused on handling inbound lead conversations across channels including Instagram and WhatsApp so those conversations can contribute to the same sales workflow.

What information should you give an AI sales agent?

An AI sales agent becomes more useful when it understands the same information a new salesperson would need on day one. That includes what your business sells, who it is for, typical pricing or packages, common objections, service boundaries, expected response style and the questions that help you recognize a qualified lead.

You should also define what the agent must not guess. If pricing depends on a custom quote, the agent should collect the right context instead of inventing a number. If a policy or technical answer is uncertain, the workflow should make it easy to hand the conversation to a human. Clear boundaries improve both customer trust and lead quality.

  1. Business offer and ideal customer profile.
  2. Frequently asked questions and approved answers.
  3. Qualification fields such as requirement, budget and timeline.
  4. Signals that should trigger a demo, meeting, proposal or human handoff.
  5. Topics that always require a person.

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